Rating 4.94 out of 5 (20 ratings in Udemy)
What you'll learn- Skills required for the Green Energy Revolution, which is all about Data Science.
- Big Data methodologies for Energy Datasets.
- Data Analysis for Energy Investments.
- The subtitles are manually created so they are fully accurate. They are not auto-generated.
Description
What is the course about:
Assume that you are a consultant and a company hires you to conduct data analyses on an energy project.
This course gives you all the …
Rating 4.94 out of 5 (20 ratings in Udemy)
What you'll learn- Skills required for the Green Energy Revolution, which is all about Data Science.
- Big Data methodologies for Energy Datasets.
- Data Analysis for Energy Investments.
- The subtitles are manually created so they are fully accurate. They are not auto-generated.
Description
What is the course about:
Assume that you are a consultant and a company hires you to conduct data analyses on an energy project.
This course gives you all the skills you will need to apply data science to datasets, and is based on real world industry projects.
Who:
Dr. Gian is a Research Fellow at Imperial College London ; I have been leading academic-industry projects related to energy investments using mathematical optimisation, machine learning and data science.
Doctor of Philosophy (PhD) in Analytics & Mathematical Optimization applied to Energy Investments, from Imperial College London.
Master of Engineering (M. Eng.) degree in Power System Analysis (Electricity) and Economics from National Technical University of Athens.
Special Acknowledgements:
To Himalaya Bir Shrestha, energy system analyst, who has been contributing to the development of Python scripts for this course as well as toMedium.
Important:
No pre-requisites and no experience required.
Every detail is explained, so that you won't have to search online, or guess. In the end you will feel confident in your knowledge and skills.
We start from scratch, so that you do not need to have done any preparatory work in advance at all. Just follow what is shown on screen, because we go slowly and understand everything in detail.
